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...itle=Comparison of Undirected Phylogenetic Trees Based on Subtrees of Four Evolutionary Units|journal=Systematic Zoology|date=1985|volume=34|issue=2|pages=193–200| |title=Computing the quartet distance between evolutionary trees ...

'''Reward-based selection''' is a technique used in [[evolutionary algorithm]]s for selecting potentially useful solutions for recombination. |book-title = Evolutionary Multi-Criterion Optimization 2011 (EMO 2011) ...

| book-title = Genetic and Evolutionary Computation Conference (GECCO) ...descent was shown to be competitive to the state-of-the-art [[evolutionary algorithms]] and has the following invariance properties: ...

{{Evolutionary algorithms}} ...ution strategies''' ('''NES''') are a family of [[numerical optimization]] algorithms for [[black box]] problems. Similar in spirit to [[evolution strategies]], ...

{{Evolutionary algorithms}} In [[evolutionary computing]] such as [[genetic algorithms]] and [[genetic programming]], '''propagation''' refers to the inheritance ...

...It is commonly employed to evaluate the performance of global optimization algorithms. ...re several variants of the Griewank function specifically designed to test algorithms in high-dimensional optimization scenarios.<ref>Locatelli, M. "A Note on th ...

In [[evolutionary computation]], '''Minimum Population Search''' ('''MPS''') is a computation ...tc/> and [[Estimation of distribution algorithm|Estimation of Distribution Algorithms]]. ...

...um Agreement Subtree in a Set of Evolutionary Trees: Metrics and Efficient Algorithms|journal=SIAM Journal on Computing|volume=26|issue=6|pages=1656–1669|doi=10. ...for Comparing Trees via Unbalanced Bipartite Matchings|journal=Journal of Algorithms|date=August 2001|volume=40|issue=2|pages=212–233|doi=10.1006/jagm.2001.1163 ...

...me=28 | title=Automation of Linear and Nonlinear Control Systems Design by Evolutionary Computation |year=1995 |journal=IFAC Proceedings Volumes |pages=85–90 | las .../ref> including heuristic [[search algorithm|search techniques]] such as [[evolutionary computation]],<ref>{{cite journal |last1=Gregory S. Hornby |title=Generativ ...

In [[computer science]], '''imperialist competitive algorithms''' are a type of computational method used to solve [[optimization problem] |book-title= IEEE Congress on Evolutionary Computation ...

{{Short description|Functions used to evaluate optimization algorithms}} ...cial landscapes''', are useful to evaluate characteristics of optimization algorithms, such as [[Rate of convergence|convergence rate]], precision, robustness an ...

...f>{{cite book |first=X. S. |last=Yang |title=Nature-Inspired Metaheuristic Algorithms |publisher=[[Luniver Press]] |year=2008 |isbn=978-1-905986-10-1 }}</ref> ...ic and Evolutionary Computation |chapter=Metaheuristics in nature-inspired algorithms |year=2014|pages=1419–1422|chapter-url=http://www.macs.hw.ac.uk/~ml355/comm ...

...in the form of an unrooted binary tree, representing the similarities and evolutionary history among species of [[Actinomycetota|actinobacteria]].]] ...applications of unrooted binary trees in [[hierarchical clustering]] and [[evolutionary tree]] reconstruction, unordered trees are more common.<ref name="f84"/> ...

...d with [[differential evolution]] to obtain better results than individual algorithms on a common set of benchmark problems.<ref name="CGOS14">{{cite journal |la ...gineering design problems by social cognitive optimization]. ''Genetic and Evolutionary Computation Conference'' (GECCO), Seattle, WA, USA: 261-262.</ref> ...

...t3=Pedro|title=Exhaustive Symbolic Regression|journal=IEEE Transactions on Evolutionary Computation |year=2023 |volume=28 |issue=4 |page=1 |doi=10.1109/TEVC.2023.3 ...s characteristic of symbolic regression also has advantages: because the [[evolutionary algorithm]] requires diversity in order to effectively explore the search s ...

...search algorithms<ref>{{citation|title=Predicate-Oriented Database Search Algorithms.|url=https://archive.org/details/DTIC_ADA110139/mode/2up|access-date=2024-0 ...d as a computer scientist, Willard's most highly cited publication is in [[evolutionary biology]]. In 1973, with biologist [[Robert Trivers]], Willard published th ...

...-authored with Robert Irving, ''The Stable Marriage Problem: Structure and Algorithms''.<ref name=stable>{{cite book | title = The stable marriage problem: structure and algorithms ...

{{Evolutionary algorithms}} ...Algorithm''' is a computational method within the field of [[evolutionary algorithms]], designed for direct exploration of [[three-dimensional space|3D spaces]] ...

...t1=Yang|first1=Li|title=On hyperparameter optimization of machine learning algorithms: Theory and practice|journal=Neurocomputing|year=2020|volume=415|pages=295– | title = Algorithms for hyper-parameter optimization ...

...cussed.<ref>{{cite web |url=http://bilevel.org/applications/ |title=Scope: Evolutionary Bilevel Optimization |last1= |first1= |last2= |first2= |date= |website=www. ...l optimization problems to optimization problems for which robust solution algorithms are available. [[Extended Mathematical Programming (EMP)]] is an extension ...